ImmunityBio (IBRX) Interest Expenses (2016 - 2026)
ImmunityBio (IBRX) reported Interest Expenses of $14.05 million for Q2 2026, down 9.2% from $15.47 million a year earlier and down 3.7% from the prior quarter.
Powered by 
Analysis
ImmunityBio (IBRX) Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ImmunityBio's Interest Expenses came in at $58.74 million, down 31.8% year-over-year; for FY2025, it came in at $60.89 million, down 46.9% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 46.3% (FY2020 to FY2025).
- By year, Interest Expenses came in at $114.59 million in FY2024 (-11.1%), $128.85 million in FY2023 (+102.9%), $63.52 million in FY2022 (+327.7%) and $14.85 million in FY2021 (+63.6%).
- The Q2 2026 figure ranks as the lowest quarterly Interest Expenses since Q2 2022.
- Year over year, Interest Expenses has now declined in each of the last ten quarters, with an average decline of 29.4% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2022 (growth of 536.1%); the low point was Q2 2025 (a decline of 48.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.59 million (Q1 2026), $14.84 million (Q4 2025) and $15.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | - |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | ImmunityBio | 9.30 Bn | 8.06 Bn | 50.94 Mn | 14.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.05 Mn |
| Mar 31, 2026 | 14.59 Mn |
| Dec 31, 2025 | 14.84 Mn |
| Sep 30, 2025 | 15.26 Mn |
| Jun 30, 2025 | 15.47 Mn |
| Mar 31, 2025 | 15.31 Mn |
| Dec 31, 2024 | 26.02 Mn |
| Sep 30, 2024 | 29.32 Mn |
| Jun 30, 2024 | 29.79 Mn |
| Mar 31, 2024 | 29.46 Mn |
| Dec 31, 2023 | 31.78 Mn |
| Sep 30, 2023 | 35.02 Mn |
| Jun 30, 2023 | 32.24 Mn |
| Mar 31, 2023 | 29.82 Mn |
| Dec 31, 2022 | 28.56 Mn |
| Sep 30, 2022 | 16.76 Mn |
| Jun 30, 2022 | 9.70 Mn |
| Mar 31, 2022 | 8.49 Mn |
| Dec 31, 2021 | 4.49 Mn |
| Sep 30, 2021 | 3.61 Mn |
API Access
ImmunityBio Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=IBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "IBRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=IBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();